xtractvars: Variable clustering based variable selection
Description
Applies variable selection to data based on variable clusterings as resulting from corclust or CLV.
Usage
xtractvars(object, data, thres = 0.5)
Value
The data is returned where unselected coloumns are removed.
Arguments
object
Object of class cvtree applied to a corclust object or the summary() of a clv object as created by CLV.
data
Data where variables are to be selected. Coloumn names must be identical to those used in corclust model.
thres
Maximum accepted average within cluster correlation for selection of a variable.
Author
Gero Szepannek
Details
Of each cluster the first variable is selected as well as all other variables with an average within cluster correlation below thres.
References
Roever, C. and Szepannek, G. (2005): Application of a genetic algorithm
to variable selection in fuzzy clustering. In C. Weihs and W. Gaul (eds), Classification
- The Ubiquitous Challenge, 674-681, Springer.